优化时域网络分析

D. DeGroot, R. Marks
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引用次数: 11

摘要

在这项工作中,我们展示了样本密度、时间窗大小和波形平均的变化如何影响校准时域网络分析的精度和采集时间。本研究的一个关键结果是,在最大化仪器的垂直尺度之前,可以通过消除时域反射波形中的入射阶跃边缘信号来提高精度。本研究确定了精度和测量速度之间的权衡,并检查了其他趋势,为各种射频和微波应用建立可靠和有效的时域网络分析测量提供一般指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing Time-Domain Network Analysis
In this work, we demonstrate how changes in sample density, time-window size, and waveform averaging affect the accuracy and acquisition time of calibrated time-domain network analysis. One of the key results from this study is that accuracy can be enhanced by eliminating the incident step-edge signal from the time-domain reflection waveform before maximizing the instrument's vertical scale. This study identifies the trade-offs between accuracy and measurement speed and examines other trends to provide general guidance in establishing reliable and efficient time-domain network analysis measurements for a variety of rf and microwave applications.
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